Evidence map›Paper›PMID 42413050›Full record

ArticleHealth affairs (Project Hope)2026

Trends In Care Needs Among Older US Adults Diverged By Age, 2011-22.

Vicki A Freedman, Sarah E Patterson, Jennifer C Cornman, Jennifer L Wolff

Abstract read
In one paragraph

Article in Health affairs (Project Hope), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Vicki A FreedmanVicki A. Freedman (vfreedma@umich.edu), University of Michigan, Ann Arbor, Michigan.
Sarah E PattersonSarah E. Patterson, University of Michigan.
Jennifer C CornmanJennifer C. Cornman, Jennifer C. Cornman Consulting, Columbus, Ohio.
Jennifer L WolffJennifer L. Wolff, Johns Hopkins University, Baltimore, Maryland.

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
Trends and Dynamics in Caregiving for Alzheimer’s Disease and Related Dementias: Extending the National Study of CaregivingR01AG062477 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FREEDMAN, VICKI A., WOLFF, JENNIFER L. · 2019 to 2023
$10.0M
NIA NIH HHS R01 AG062477NIA NIH HHS U01 AG032947
6 · The paper itself

Abstract

Changing late-life disability and care patterns that may accompany population aging have profound consequences for the nation's health and related public policies. Drawing on two cross-sectional rounds of the National Health and Aging Trends Study, we examined trends among US adults ages 65 and older in 2011, when the oldest members of the baby-boom generation turned age 65, and in 2022, when about half of the generation was ages 65-74. We found increases in the percentage of adults ages 65-74 who reported activity limitations, receiving paid care in the community, and having unmet care needs. In contrast, for older age groups, we found declines in the receipt of care overall and in residential settings, particularly nursing care, without increases in unmet care needs. All else equal, had the sociodemographic and health profile of the group ages 65-74 not differed from the preceding cohort-especially in terms of increased educational attainment-the increases experienced by this age group would have been even larger. Findings portend growing challenges in caring for older US adults in the future.

Indexed as

Health Services Needs and DemandPersons with DisabilitiesAgedAged, 80 and overAgingAging in PlaceCross-Sectional StudiesFemaleHumansMaleUnited States

Identifiers

PMID42413050
PMCPMC13371332

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.